The Ethics Blog

A research blog from the Centre for Resarch Ethics & Bioethics (CRB)

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How can we set future ethical standards for ICT, Big Data, AI and robotics?

Do you use Google Maps to navigate in a new city? Ask Siri, Alexa or OK Google to play your favourite song? To help you find something on Amazon? To read a text message from a friend while you are driving your car? Perhaps your car is fitted with a semi-autonomous adaptive cruise control system… If any software or machine is going to perform in any autonomous way, it needs to collect data. About you, where you are going, what songs you like, your shopping habits, who your friends are and what you talk about. This begs the question: are we willing to give up part of our privacy and personal liberty to enjoy the benefits technology offers. Want to know more about the collaboration between SIENNA, SHERPA and PANELFIT? Read the editorial in Orbit (Setting future ethical standards for ICT, Big Data, AI and robotics: The contribution of three European Projects), or watch a video from our joint webinar on May 20, 2019 on YouTube (SIENNA, SHERPA, PANELFIT: Setting future ethical standards for ICT, Big Data, SIS, AI and Robotics).

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Promoting public health requires responsibility, compassion and humility

Public health focuses on the prevention of disease and the promotion of health on a collective level, that is, the health of the population. This distinguishes public health from medical care and the doctor-patient relationship. In a clinical setting, the doctor discusses treatments with the patient directly and risks and benefits are assessed in relation […]

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Pragmatic trials without informed consent?

Randomized controlled trials (RCTs) are considered to be the gold standard for determining a causal effect of medical interventions. To achieve this aim, possible confounding factors must be avoided. This implies excluding many patients from participating in the trial, for example, patients with concomitant conditions. A negative consequence of these exclusions, however, is limited generalizability. […]

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